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Message type: E = Error
Message class: RSRV -
Message number: 259
Message text: Table &1 has &2 entries. Size corresponds to &3% of the InfoCube
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RSRV259
- Table &1 has &2 entries. Size corresponds to &3% of the InfoCube ?The SAP error message RSRV259 indicates that a specific InfoCube table has a certain number of entries, and the size of these entries corresponds to a percentage of the total capacity of the InfoCube. This message is typically related to the data volume and storage management within the SAP BW (Business Warehouse) environment.
Cause:
- Data Volume: The message is triggered when the number of entries in the specified table exceeds a certain threshold or when the size of the data in the InfoCube is significant compared to its total capacity.
- Performance Issues: A high percentage of data utilization can lead to performance issues, such as slow query performance or difficulties in data loading.
- Data Management: It may indicate that the InfoCube is nearing its storage limits, which could lead to problems with data processing and reporting.
Solution:
- Data Archiving: Consider archiving old or unnecessary data to free up space in the InfoCube. This can help reduce the number of entries and improve performance.
- Data Compression: Use the data compression feature in SAP BW to optimize the storage of data in the InfoCube. This can help reduce the size of the data and improve performance.
- Monitoring and Maintenance: Regularly monitor the size and performance of your InfoCubes. Use transaction RSRV to check for inconsistencies and perform necessary maintenance tasks.
- Increase Capacity: If the InfoCube is consistently reaching high utilization, consider increasing its capacity by adjusting the data model or creating additional InfoCubes to distribute the data load.
- Data Cleansing: Review the data being loaded into the InfoCube and ensure that only relevant and necessary data is being stored.
Related Information:
By addressing the underlying causes and implementing the suggested solutions, you can effectively manage the data volume in your InfoCubes and mitigate the impact of the RSRV259 error message.
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